<!DOCTYPE html>
<html>
<head>

    <meta charset="utf-8">
    <meta http-equiv="X-UA-Compatible" content="IE=edge">
    <title>传智健康</title>
    <meta name="description" content="传智健康">
    <meta name="keywords" content="传智健康">
    <meta content="width=device-width,initial-scale=1,maximum-scale=1,user-scalable=no" name="viewport">

    <link rel="stylesheet" href="../css/style.css">
    <script src="../plugins/echarts/echarts.min.js"></script>

    <script src="../js/vue.js"></script>
    <script src="../plugins/elementui/index.js"></script>
    <link rel="stylesheet" href="../plugins/elementui/index.css">
</head>
<body class="hold-transition">


<div id="app">
    <div class="content-header">
        <h1>统计分析<small>年龄分布</small></h1>
        <el-breadcrumb separator-class="el-icon-arrow-right" class="breadcrumb">
            <el-breadcrumb-item :to="{ path: '/' }">首页</el-breadcrumb-item>
            <el-breadcrumb-item>统计分析</el-breadcrumb-item>
            <el-breadcrumb-item>年龄分布</el-breadcrumb-item>
        </el-breadcrumb>
    </div>
    <div class="app-container">
        <div class="box">
            <!-- 为 ECharts 准备一个具备大小（宽高）的 DOM -->
            <div id="chart1" style="height:600px;"></div>
        </div>
    </div>
</div>
</body>

<script src="../js/axios-0.18.0.js"></script>
<script>

    var myChart = echarts.init(document.getElementById('chart1'));
    axios.get("/report/getAgeReport.do").then((res) => {
        myChart.setOption({

            title: {
                text: '数量'
            },
            legend: {
                type: 'plain',
                top: '1%',
                selected:{
                    '数量':true,			//----图例选择,图形加载出来会显示选择的图例，默认为true
                },
                data:[						//----图例内容
                    {
                        name:'数量',
                        icon:'rect',			//----图例的外框样式

                    }
                ],
            },

            tooltip:{
                show:true,
                color:'red',
            },
            //保存图片到后台
            toolbox: {
                feature: {
                    saveAsImage: {}
                }
            },
            xAxis: {
                type: 'category',
                data: res.data.data.Names
            },
            yAxis: {
                type: 'value'
            },
            series: [{
                data: res.data.data.countList,
                type: 'bar',
                showBackground: true,
                name:'数量'

            }]
        });
    });
</script>
</html>